Yunzhong from Aofeisi Quantum Bit Edited | Public Account QbitAI
In today’s era of artificial intelligence, most people pay attention to deep learning technologies, but please do not overlook the understanding of traditional machine learning techniques. In fact, when you truly engage in AI work, you will find that the dependence on traditional machine learning is still significant. Models such as logistic regression, random forests, GBDT, XGBoost, and SVM still hold an undeniable position in many applications.
XGBoost, as one of the hottest technologies in recent years, has been widely applied in the industry. However, compared to other technologies, fully understanding the technical details of XGBoost is still a certain challenge.
Attention, Transformer, BERT, the “pre-trained model” has been the most disruptive achievement in NLP over the past decade. The study group will focus on explaining the Transformer model and its core Self-Attention mechanism, while also providing a detailed explanation of the BERT model.
FM and Knowledge Graph-Based Recommendation Methods, FM is indeed widely used in the industry. In recent years, knowledge graph-based recommendation methods have become increasingly popular. The study group will focus on learning graph-based recommendation methodsβthe wave diffusion method.
To help everyone gain a deeper understanding of these topics, the Greedy Academy has organized this study group plan to explain each algorithm model’s technical details in an accessible way. For friends who want to understand the underlying algorithms, participating in this event will definitely be rewarding! Interested friends can scan the QR code below to sign up, see you there!
Sign up for the study group for freePlease scan the QR code belowπππ
Sign up for the study group for freePlease scan the QR code belowπππ
β The End β
Quantum Bit QbitAI Β· Signed Author on Toutiao
v’α΄’ i Track new developments in AI technology and products
If you like it, please click “Looking”!